AI for Customer Support & Success: Core

This course helps support and success teams resolve issues faster while keeping quality high. Learners draft accurate replies, ground answers in a knowledge base, triage and summarize tickets, and maintain QA and tone. They leave able to handle more volume without lowering the bar.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Introduction to AI in Customer Support — Explore how AI transforms support operations, speeds up resolution times, and the ethical guardrails required for deployment.
AI-Powered Response Drafting — Learn the principles of using generative AI to draft initial replies to customer inquiries while maintaining accuracy.
Hands-On: Drafting Support Replies in the Tool — Practice using AI drafting tools directly within the helpdesk interface to generate, refine, and send customer responses.
Grounding Answers in the Knowledge Base — Understand how to connect AI draft generators to your internal knowledge base to prevent hallucinations and ensure factual accuracy.
Coding Lab: Building a Retrieval-Augmented Generation (RAG) Pipeline — Write code to connect a customer support dataset to an LLM using vector embeddings for accurate knowledge retrieval.
Automated Ticket Triage and Classification — Learn how AI models categorize incoming tickets by intent, sentiment, and urgency to optimize routing.
Configuring Triage Workflows — Step-by-step practice setting up automated triage rules and routing paths directly within a simulated support platform.
Generating and Leveraging Ticket Summaries — Use AI to instantly summarize long, multi-turn ticket histories during escalations and handoffs.
Decision Scenario: Handling Complex Escalations — Make critical routing and response decisions based on AI-generated ticket summaries in a fast-paced simulated queue.
Maintaining Quality Assurance and Brand Tone — Establish guidelines for reviewing AI drafts to ensure they match your company's voice, empathy standards, and compliance rules.
Roleplay: Simulating Difficult Customer Conversations — Engage in an interactive chat simulation to practice blending AI-assisted drafts with human empathy during high-stress customer interactions.
Evaluating AI Output and Mitigating Risks — Navigate scenario-based exercises to identify subtle AI inaccuracies, tone mismatches, and outdated knowledge base references before they reach the customer.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Active Listening for Support, Prompt Engineering, Summarizing & Synthesizing, Self-Service & Knowledge Base Management, Customer Service.

Active Listening for Support
Prompt Engineering
Summarizing & Synthesizing
Self-Service & Knowledge Base Management
Customer Service

Who it is for

Support agents, CSMs. The material is pitched at intermediate level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Customer Support track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, code lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a roleplay assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

See how this training works for the whole function on AI training for Customer Support.

Also in this track

AI for Customer Support & Success: Essentials — Learners will be able to answer customers faster without losing the human touch. The course covers drafting a reply from the customer's message and your notes, matching the tone to the situation, and checking the answer against the help article before sending. They leave with a reply routine that is quicker and still sounds like them.
AI for Customer Support & Success: Advanced — An advanced course for support leads, senior agents who already use AI in daily work. It moves beyond the essentials into deflection design, knowledge-base operations, QA automation, and escalation intelligence, with an emphasis on quality control, automation, and judgment at scale.
AI for Customer Experience — Faster, higher-quality support and success
Customer Success with AI — AI across the post-sale customer lifecycle

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-CS.